Utsav Awasthi

(Email: [email protected])

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I am a Ph.D. student in the Department of Chemical and Biomolecular Engineering and affiliated with the UTC-Institute of Advanced Systems Engineering at the University of Connecticut. I received an M.S. degree in Chemical Engineering with a focus on mathematical programming, optimization, planning, and scheduling from Carnegie Mellon University. I did my undergraduate stuies in Chemical Engineering at the Indian Institute of Technology (IIT) (BHU), Varanasi, India.

My current research work lies in system health monitoring in the manufacturing industry using physics-based modeling, machine learning, and AI. Im addition, I have worked on planning and sceduling of oil production using mathematical programming and optimization. I have fours years experience in building and deploying Real Time Optimization (RTO) models, experience of advacnced process control and plant operations at Reliance Industries Limited, India.

Publications

• Awasthi, U., Wang, Z., Mannan, N., Pattipati, K. R., and Bollas, G. M. (2022). Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining. Journal of Manufacturing Processes.
• Wilson, J. P., Zongyuan, S., Awasthi, U., Bollas, G. M., and Gupta, S. (2022). Multi-objective optimization for cost-efficient and resilient machining under tool wear. Journal of Manufacturing Systems.
• Yang, Q., Pattipati, K., Awasthi, U., and Bollas, G. M. (2022). Hybrid data-driven and model-informed online tool wear detection in milling machines. Journal of Advanced Maufacturing and Systems.
• Awasthi, U., Palmer, K. A., and Bollas, G. M. (2020). Optimal test and sensor selection for active fault diagnosis using integer programming. Journal of Process Control.
• Awasthi, U., and Bollas, G. M. (2020). Sensor network design for smart manufacturing – Application on precision machining. IFAC-PapersOnLine.
• Awasthi, U., Marmier, R. and Grossmann, I. E. (2020). Multiperiod optimization model for oilfield production planning: bicriterion optimization and two-stage stochastic programming model. Optimization and Engineering

Conference and Poster Presentations

• Awasthi, U., and Bollas, G. M (2023). Symbolic regression-based method for developing a physics-informed surrogate model for a manufacturing process, 33rd European Symposium on Computer-Aided Process Engineering, Athens, Greece.
• Awasthi, U., and Bollas, G. M (2023). Application of grey-box modeling for machine state prediction in manufacturing, Foundations of Computer Aided Process Operations/Chemical Process Control, San Antonio, USA.
• Awasthi, U., and Bollas, G. M. (2022). Physics-Informed Surrogate Models for Manufacturing Applications, AIChE, Phoenix, USA.
• Awasthi, U., Pattipati, K. R., and Bollas, G. M. (2022). Physics-Inspired inferential sensor for tool wear classification in milling, Advanced Manufacturing and Processing Conference, Bethesda, MD, USA.
• Awasthi, U., and Bollas, G. M. (2022). Digital twin and surrogate model for tool wear prediction, Student Association of Graduate Engineers, University of Connecticut, Storrs, USA.
• Awasthi, U., and Bollas, G. M. (2021). Fault detection in CNC machines, Student Association of Graduate Engineers, University of Connecticut, Storrs, USA.
• Awasthi, U., Tom Maloney, and Bollas, G. M. (2020). Maintenance Testing in Precision Machining, AIChE, Virtual Meeting, USA.
• Awasthi, U., and Bollas, G. M. (2020). Sensor Network Design for Smart Manufacturing - Application on Precision Machining, IFAC (Vitrual), Berlin, Germany.
• Awasthi, U., and Bollas, G. M. (2019). Physics-based models for precision machining, AIChE, Orlando, USA.
• Awasthi, U., Palmer, K. A., and Bollas, G. M. (2019). Sensor and test selection for Passive Active fault diagnosis, AIChE, Orlando, USA.
• Awasthi, U., and Bollas, G. M. (2019). Optimal test design and sensor selection for active FDI, INCOSE conference, University of Connecticut, Storrs, USA.
• Awasthi, U., Marmier, R., and Grossmann, I. E. (2017). Optimization of production and gas lift for oil wells, Mathais, Paris, France.
• Awasthi, U., Marmier, R., and Grossmann, I. E. (2017). Oilfield planning, CAPD conference, Pittsburgh, USA.
• Awasthi, U., Marmier, R., and Grossmann, I. E. (2017). Oilfield planning optimization, Enterprise-wide optimization conference, Pittsburgh, USA.